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Multiscale Biology of Cardiovascular Risk in Psoriasis: Protocol for a Case-Control Study
Hannah Kaiser1,2, Amanda Kvist-Hansen1,2, Christine Becker3,4
1Department of Dermatology and Allergy, Copenhagen University Hospital Herlev and Gentofte, Copenhagen, Denmark.
Insights
This study investigates the link between psoriasis and cardiovascular disease (CVD) using multiomic and systems biology approaches. Findings may reveal new therapeutic targets for managing CVD risk in psoriasis patients.
Area of Science:
- Integrative biology
- Cardiovascular medicine
- Dermatology
Background:
- Psoriasis patients face elevated cardiovascular disease (CVD) risk, independent of traditional factors.
- The molecular basis of the psoriasis-CVD link remains unclear.
- High-throughput profiling and computational analysis offer new insights.
Purpose of the Study:
- To characterize cardiovascular risk in psoriasis patients.
- To integrate deep phenotypic data with systems biology for multiomic analysis.
- To construct network models of psoriasis and CVD interaction.
Main Methods:
- 120 adult psoriasis patients (60 with prior CVD) were studied.
- Comprehensive data collection included clinical exams, imaging (echocardiography, PET/CT, ultrasound), and multiomic profiling (metagenomics, transcriptomics, proteomics, lipidomics, metabolomics, mass cytometry).
- Bioinformatics and systems biology techniques were used for data analysis and network modeling.
Main Results:
- Preliminary 18F-FDG-PET/CT data showed reduced vascular inflammation in statin-treated patients.
- Inflammation was associated with adipose tissue, spleen, and bone marrow.
- Further analysis integrated multiomic and clinical data into a network model.
Conclusions:
- A systems biology approach integrating multiomics and clinical data offers novel insights.
- This research is expected to illuminate biological mechanisms underlying psoriasis and CVD.
- Findings may inform future treatment strategies for patients with psoriasis and cardiovascular risk.
Background:
Patients with psoriasis have increased risk of cardiovascular disease (CVD) independent of traditional risk factors. The molecular mechanisms underlying the psoriasis-CVD connection are not fully understood. Advances in high-throughput molecular profiling technologies and computational analysis techniques offer new opportunities to improve the understanding of disease connections.
Objective:
We aim to characterize the complexity of cardiovascular risk in patients with psoriasis by integrating deep phenotypic data with systems biology techniques to perform comprehensive multiomic analyses and construct network models of the two interacting diseases.
Methods:
The study aims to include 120 adult patients with psoriasis (60 with prior atherosclerotic CVD and 60 without CVD). Half of the patients are already receiving systemic antipsoriatic treatment. All patients complete a questionnaire, and a medical interview is conducted to collect medical history and information on, for example, socioeconomics, mental health, diet, and physical exercise. Participants are examined clinically with assessment of the Psoriasis Area and Severity Index and undergo imaging by transthoracic echocardiography, 18F-fluorodeoxyglucose positron emission tomography/computed tomography (18F-FDG-PET/CT), and carotid artery ultrasonography. Skin swabs are collected for analysis of microbiome metagenomics; skin biopsies and blood samples are collected for transcriptomic profiling by RNA sequencing; skin biopsies are collected for immunohistochemistry; plasma samples are collected for analyses of proteomics, lipidomics, and metabolomics; blood samples are collected for high-dimensional mass cytometry; and feces samples are collected for gut microbiome metagenomics. Bioinformatics and systems biology techniques are utilized to analyze the multiomic data and to integrate data into a network model of CVD in patients with psoriasis.
Results:
Recruitment was completed in September 2020. Preliminary results of 18F-FDG-PET/CT data have recently been published, where vascular inflammation was reduced in the ascending aorta (P=.046) and aortic arch (P=.04) in patients treated with statins and was positively associated with inflammation in the visceral adipose tissue (P<.001), subcutaneous adipose tissue (P=.007), pericardial adipose tissue (P<.001), spleen (P=.001), and bone marrow (P<.001).
Conclusions:
This systems biology approach with integration of multiomics and clinical data in patients with psoriasis with or without CVD is likely to provide novel insights into the biological mechanisms underlying these diseases and their interplay that can impact future treatment.
International Registered Report Identifier (Irrid):
DERR1-10.2196/28669.
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